Triple

T38682631
Position Surface form Disambiguated ID Type / Status
Subject Monclova Municipality E949028 entity
Predicate borderedBy P224 FINISHED
Object Frontera Municipality
Frontera Municipality is an administrative region in the Mexican state of Coahuila, known for its close economic and urban integration with the neighboring industrial city of Monclova.
E2282631 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Frontera Municipality | Statement: [Monclova Municipality, borderedBy, Frontera Municipality]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Frontera Municipality
Triple: [Monclova Municipality, borderedBy, Frontera Municipality]
Generated description
Frontera Municipality is an administrative region in the Mexican state of Coahuila, known for its close economic and urban integration with the neighboring industrial city of Monclova.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f76efe16148190befd5dd59c3dfeaa completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fcdc3f42888190b5912df3fa7e2b3a completed May 7, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4223a94c988190b08b7fee382e3d00 completed June 29, 2026, 7:50 a.m.
NEDg Description generation batch_6a42245f189881908ea69f7245cb3ca9 completed June 29, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_6a42249ab9408190a07e76742ff7526b completed June 29, 2026, 7:54 a.m.
Created at: May 3, 2026, 4:33 p.m.